Wyniki wyszukiwania

Sortuj według:

Ogranicz wyniki do:

Artykuł dostępny w postaci pełnego tekstu - kliknij by otworzyć plik

RGB-D terrain perception and dense mapping for legged robots

100%

Belter D., Łabecki P., Fankhauser P., Siegwart R.

International Journal of Applied Mathematics and Computer Science

2016

tom 26

nr 1

81-97

This paper addresses the issues of unstructured terrain modeling for the purpose of navigation with legged robots. We present an improved elevation grid concept adopted to the specific requirements of a small legged robot with limited perceptual capabilities. We propose an extension of the elevation grid update mechanism by incorporating a formal treatment of the spatial uncertainty. Moreover, this paper presents uncertainty models for a structured light RGB-D sensor and a stereo vision camera used to produce a dense depth map. The model for the uncertainty of the stereo vision camera is based on uncertainty propagation from calibration, through undistortion and rectification algorithms, allowing calculation of the uncertainty of measured 3D point coordinates. The proposed uncertainty models were used for the construction of a terrain elevation map using the Videre Design STOC stereo vision camera and Kinect-like range sensors. We provide experimental verification of the proposed mapping method, and a comparison with another recently published terrain mapping method for walking robots.

Ograniczanie wyników

1 International Journal of Applied Mathematics and Computer Science

1 Belter D.

1 Fankhauser P.

1 Siegwart R.

1 Łabecki P.

1 2016

Wyniki wyszukiwania

RGB-D terrain perception and dense mapping for legged robots